Data Management Planning in the arts
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The document outlines the importance of data management planning (DMP) in research, detailing how to create an effective DMP that addresses data creation, documentation, access, storage, backup, sharing, and preservation. It highlights the requirements of various UK funders for DMPs and provides a checklist of common themes, including ethical considerations and standards for data management. Additionally, it offers resources and tools, such as the DMPonline platform, to assist researchers in developing and managing their data effectively.
Data Management Planning in the arts
- 1. Data Management Planning and DMPonline Sarah Jones DCC, University of Glasgow sarah.jones@glasgow.ac.uk Twitter: @sjDCC •VADS4R, Glasgow School of Art, 16th June 2014 Funded by:
- 2. What is the DCC? A Jisc-funded service to support universities with research data management •Run training courses •Provide guidance on good practice •Develop tools such as DMPonline •Offer tailored support to universities •… www.dcc.ac.uk
- 3. “the active management and appraisal of data over the lifecycle of scholarly and scientific interest” Data management is part of good research practice What is research data management?
- 4. What is a data management plan? A brief plan written at the start of your project to define: • how your data will be created? • how it will be documented? • who will access it? • where it will be stored? • who will back it up? • whether (and how) it will be shared & preserved? DMPs are often submitted as part of grant applications, but are useful whenever you’re creating data.
- 5. Why develop a DMP? • to help you manage your data • to make informed decisions so you don’t have to figure out things as you go • to anticipate and avoid problems e.g. data loss • to make your life easier!
- 6. Which UK funders require a DMP? •www.dcc.ac.uk/resources/policy-and-legal/ overview-funders-data-policies
- 7. DCC Checklist for a DMP • 13 questions on what’s asked across the board • Prompts / pointers to help researchers get started • Guidance on how to answer www.dcc.ac.uk/sites/default/files/documents/resource/DMP_Checklis
- 8. Common themes in DMPs 1. Description of data to be collected / created (i.e. content, type, format, volume...) 2. Standards / methodologies for data collection & management 3. Ethics and Intellectual Property (highlight any restrictions on data sharing e.g. embargoes, confidentiality) 4. Plans for data sharing and access (i.e. how, when, to whom) 5. Strategy for long-term preservation
- 9. •1. Describing data to be collected • What type of data will you produce? • What file format(s) will your data be in? • How much data will be produced? • How will you create your data?
- 10. Some formats are better for the long-term It’s preferable to opt for formats that are: • Uncompressed • Non-proprietary • Open, documented • Standard representation (ASCII, Unicode) Data centres may have preferred formats for deposit e.g. Type Recommended Non-preferred Tabular data CSV, TSV, SPSS portable Excel Text Plain text, HTML, RTF PDF/A only if layout matters Word Media Container: MP4, Ogg Codec: Theora, Dirac, FLAC Quicktime H264 Images TIFF, JPEG2000, PNG GIF, JPG Structured data XML, RDF RDBMS Further examples: http://www.data-archive.ac.uk/create-manage/format/formats-table
- 11. Tools for researchers www.dcc.ac.uk/resources/external/tools-services/ managing-active-research-data
- 12. •2. Standards and methodologies • What metadata and documentation will you record? • What standards are used in your field? • How will your data be organised? • Where will it be stored and backed-up?
- 13. Documentation and standards Metadata: basic info e.g. title, author, dates, access rights... Documentation: methods, code, data dictionary, context... Use standards wherever possible for interoperability www.dcc.ac.uk/resources/me
- 14. •3. Ethical and IPR implications • Are you seeking consent from participants? • Who owns your data or has rights in it? • Are you re-using other people’s data?
- 15. Seek consent for data sharing & preservation •If you don’t ask, data centres won’t be able to accept your data – regardless of any conditions on the original grant or your desire for it to be shared.
- 16. •4. Data sharing and reuse • Are you allowed to share your data? • Who will you share with and how? • Do you need to impose conditions on reuse? • How will you license the data for clarity?
- 17. •CREATIVE COMMONS LIMITATIONS • NC Non-Commercial • What counts as commercial? • SA Share Alike • Reduces interoperability • ND No Derivatives • Severely restricts use www.dcc.ac.uk/resources/ how-guides/license-research-data License your data for reuse Outlines pros and cons of each approach and gives practical advice on how to implement your licence
- 18. •5. Preservation • Which data do you need to keep? • Will you deposit your data in a repository? • Do you need to prepare it for deposit?
- 19. Lists of repositories to choose from http://databib.org http://service.re3data.org/search
- 20. Managing and sharing data: a best practice guide • How to write a DMP • Formatting your data • Documentation • Data sharing • Ethics and consent • Copyright • … http://data-archive.ac.uk/media/2894/managingsharing.pdf
- 21. Tips for writing DMPs • Seek advice - consult and collaborate • Consider good practice for your field • Base plans on available skills & support • Make sure implementation is feasible
- 22. A useful framework to get you started Think about why the questions are being asked – why is it useful to consider that topic? Look at examples to help you understand what to write •www.icpsr.umich.edu/icpsrweb/content/datamanagement/dmp/framework.html
- 23. Help from the DCC •https://dmponline.dcc.ac.uk •www.dcc.ac.uk/resources/how-guides/develop-data-plan A web-based tool to help researchers write data management plans
- 25. Thanks – any questions? DCC guidance, tools and case studies: www.dcc.ac.uk/resources Follow us on twitter: @digitalcuration and #ukdcc
Editor's Notes
- #11: Some formats are better for data sharing and long-term preservation than others. It’s preferable to use formats that are uncompressed (e.g. large, high-quality files like .wav), non-proprietary (i.e. open) standards that are documented and well-understood. This aids preservation and interoperability. Some data centres have preferred formats for deposit so it’s worthwhile encouraging researchers to consult these to check.
- #14: To make sure their data can be understood by themselves, their community and others, researchers should create metadata and documentation. Metadata is basic descriptive information to help identify and understand the structure of the data e.g. title, author... Documentation provides the wider context. It’s useful to share the methodology / workflow, software and any information needed to understand the data e.g. explanation of abbreviations or acronyms There are lots of standards that can be used. The DCC started a catalogue of disciplinary metadata standards which is now being taken forward as an international initiative via an RDA working group
- #18: Guidance from the DCC can also help researchers to understand data licensing. This guide outlines the pros and cons of each approach e.g. the limitations of some CC options Under Horizon 2020 it’s recommended that researchers use CC-0 or CC-BY to make data as open as possible.
- #20: The EC guidelines suggest selecting a suitable repository. The Databib and Re3data lists can be useful for this. They allow you to search and browse by subject. Re3data also allows you to restrict the search by certificates, open access repositories and persistent identifiers.
- #23: I recommend this ICPSR resource It explains the importance of different questions as a pointer to how to answer Examples are given. This is the most frequent request we get at DCC - examples help researchers think of what to write for their context
- #24: The DCC has produced a How to guide on writing DMPs and developed a tool to help